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Accounting for previously evaluated models on the market, the latest evaluation brings the total of Best Bet boosters to 47.
Instead, we evaluated models based on the other fit indices.
Table 7 shows a summary of the ten evaluated models with all their data ranges.
We evaluated models' discrimination using the area under the receiver operating characteristic curve (AUROC).
Finally, the authors evaluated models for predicting the percentage of foreign population.
Huertas-Fernández et al. developed and evaluated models based on logistic regression, linear discriminant analysis and SVMs to differentiate between patients with PD and vascular Parkinsonism [2].
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Sensitivity analyses evaluated model robustness.
We evaluated model convergence using Geweke's method [50].
We further evaluated model fit using weights (WAIC), which are the relative likelihoods of each model given the data.
Sixty-seven percent did not report evaluating model calibration whilst most studies evaluated model discrimination.
In addition, we evaluated model 4 only among individuals with microvascular diseases (model 6).
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